Decision intelligence
Aegis reads your operating telemetry, finds the controllable driver behind the outcome you care about, and states what to act on. When the evidence cannot support a judgment, it says so instead of inventing one.
What Aegis does
Aegis does the part executives cannot delegate reliably: separating the metric that moved from the metric that caused it.
Structure
Metrics are profiled by shape, unit, trend and topology. Aegis infers operational roles — driver, outcome, constraint — without a metric dictionary.
Causality
A proof graph ranks candidate causes by controllability, structural weight, lead evidence and trend strength, then targets the strongest upstream cause.
Restraint
Coverage gates, oscillation gates and premise-conflict evaluation block a recommendation whenever the evidence does not carry it.
How it works
Nothing is hidden behind a model. Each stage produces an artefact you can open.
Upload dataset
Telemetry profiling
Coverage analysis
Proof graph
Driver selection
Business judgment
Validation
Executive report
Why trust Aegis
A fixed benchmark of cross-domain scenarios with hidden oracles scores the engine on premise handling, root-cause precision and refusal behaviour.
Your data is never used to improve the engine. There is no model to improve — the reasoning is rules and structure, and it is versioned.
Recommendation, evidence, confidence, whether you followed it and what happened. Accountability that survives staff turnover.
Aegis cannot produce a recommendation without a traceable path from telemetry to driver to judgment.
Industries supported
SaaS
Retention, expansion, onboarding and support telemetry.
Manufacturing
Yield, defect rate, calibration intervals, downtime.
Healthcare
Capacity, staffing, wait time, readmission.
Retail
Footfall, conversion, stockouts, replenishment.
Logistics
On-time delivery, dwell time, fleet maintenance.
Professional services
Utilisation, delivery quality, margin.
Executive decision workflow
Upload a snapshot
Any CSV export with periods across columns. No schema, no mapping, no integration project.
Read one judgment
A single recommendation aimed at the controllable upstream driver — not the symptom.
Open the evidence
Every metric, edge and validator rule that produced the judgment is on the page.
Record the outcome
What you did, what happened. The decision ledger becomes institutional memory.
Testimonials
Aegis is in executive validation. Rather than fabricate quotes, this space stays empty until pilot executives approve their own words.
Manufacturing pilot
Reserved for a named executive quote after the validation period closes.
Healthcare pilot
Reserved for a named executive quote after the validation period closes.
SaaS pilot
Reserved for a named executive quote after the validation period closes.
FAQ
No. Aegis has no conversational surface and no generated prose. The engine is deterministic: the same dataset always produces the same judgment, evidence chain and confidence.
Aegis refuses. Insufficient coverage, oscillating telemetry with no trend, or a premise contradicted by the evidence all resolve to HOLD_JUDGMENT rather than a confident guess.
Yes. Roles are inferred from the structure of the telemetry — shape, units, lead and lag — not from a dictionary of metric names. Manufacturing, healthcare, retail and logistics datasets are certified in the benchmark.
Analyses run in your browser. No dataset is uploaded to a server and no customer telemetry is used to train anything.
Every judgment exposes its proof graph, driver ranking and the validator rules that fired. The engine is scored against a fixed benchmark of adversarial scenarios with hidden oracles.
Bring one CSV export. In a 30-minute session we run it live and walk the full evidence chain behind whatever Aegis concludes — including a refusal.